Paul Kaufmann

21 papers and 918 indexed citations i.

About

Paul Kaufmann is a scholar working on Artificial Intelligence, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Paul Kaufmann has authored 21 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Paul Kaufmann’s work include Evolutionary Algorithms and Applications (10 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Paul Kaufmann is often cited by papers focused on Evolutionary Algorithms and Applications (10 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). Paul Kaufmann collaborates with scholars based in Germany, Norway and United States. Paul Kaufmann's co-authors include Michael McCrea, Karen Postal, Karen Wills, David E. Tupper, Michael Westerveld, Michelle Braun, Martin Braun, Pedro Á. Castillo, Marco Platzner and Kyrre Glette and has published in prestigious journals such as Renewable Energy, IEEE Transactions on Evolutionary Computation and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Co-authorship network of co-authors of Paul Kaufmann i

Fields of papers citing papers by Paul Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Kaufmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul Kaufmann. The network helps show where Paul Kaufmann may publish in the future.

Countries citing papers authored by Paul Kaufmann

Since Specialization
Citations

This map shows the geographic impact of Paul Kaufmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kaufmann more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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